Pink Hat, a supplier of open supply options, has unveiled updates to Pink Hat AI, its portfolio of services and products designed to assist speed up the event and deployment of AI options throughout the hybrid cloud.
Pink Hat AI gives an enterprise AI platform for mannequin coaching and inference that delivers elevated effectivity, a simplified expertise and the flexibleness to deploy anyplace throughout a hybrid cloud atmosphere.
Whilst companies search for methods to scale back the prices of deploying massive language fashions (LLMs) at scale to handle a rising variety of use instances, they’re nonetheless confronted with the problem of integrating these fashions with their proprietary knowledge that drives these use instances whereas additionally having the ability to entry this knowledge wherever it exists, whether or not in an information centre, throughout public clouds and even on the edge.
Encompassing each Pink Hat OpenShift AI and Pink Hat Enterprise Linux AI (RHEL AI), Pink Hat AI addresses these considerations by offering an enterprise AI platform that allows customers to undertake extra environment friendly and optimised fashions, tuned on business-specific knowledge and that may then be deployed throughout the hybrid cloud for each coaching and inference on a wide-range of accelerated compute architectures.
Pink Hat OpenShift AI
Pink Hat OpenShift AI gives a whole AI platform for managing predictive and generative AI (gen AI) lifecycles throughout the hybrid cloud, together with machine studying operations (MLOps) and LLMOps capabilities. The platform gives the performance to construct predictive fashions and tune gen AI fashions, together with instruments to simplify AI mannequin administration, from knowledge science and mannequin pipelines and mannequin monitoring to governance and extra.
Pink Hat OpenShift AI 2.18, the most recent launch of the platform, provides new updates and capabilities to help Pink Hat AI’s intention of bringing higher optimised and extra environment friendly AI fashions to the hybrid cloud. Key options embody:
- Distributed serving: Delivered via the vLLM inference server, distributed serving permits IT groups to separate mannequin serving throughout a number of graphical processing items (GPUs). This helps reduce the burden on any single server, hastens coaching and fine-tuning and makes extra environment friendly use of computing sources, all whereas serving to distribute providers throughout nodes for AI fashions.
- An end-to-end mannequin tuning expertise: Utilizing InstructLab and Pink Hat OpenShift AI knowledge science pipelines, this new function helps simplify the fine-tuning of LLMs, making them extra scalable, environment friendly and auditable in massive manufacturing environments whereas additionally delivering manageability via the Pink Hat OpenShift AI dashboard.
- AI Guardrails: Pink Hat OpenShift AI 2.18 helps enhance LLM accuracy, efficiency, latency and transparency via a know-how preview of AI Guardrails to observe and higher safeguard each person enter interactions and mannequin outputs. AI Guardrails gives extra detection factors in serving to IT groups determine and mitigate probably hateful, abusive or profane speech, personally identifiable info, aggressive info or different knowledge restricted by company insurance policies.
- Mannequin analysis: Utilizing the language mannequin analysis (lm-eval) part to supply necessary info on the mannequin’s total high quality, mannequin analysis permits knowledge scientists to benchmark the efficiency of their LLMs throughout a wide range of duties, from logical and mathematical reasoning to adversarial pure language and extra, finally serving to to create simpler, responsive and tailor-made AI fashions.
RHEL AI
A part of the Pink Hat AI portfolio, RHEL AI is a basis mannequin platform to extra persistently develop, take a look at and run LLMs to energy enterprise purposes. RHEL AI gives clients with Granite LLMs and InstructLab mannequin alignment instruments which might be packaged as a bootable Pink Hat Enterprise Linux server picture and might be deployed throughout the hybrid cloud.
Launched in February 2025, RHEL 1.4 added a number of new enhancements together with:
- Granite 3.1 8B mannequin help for the most recent addition to the open source-licensed Granite mannequin household. The mannequin provides multilingual help for inference and taxonomy/information customisation (developer preview) together with a 128k context window for improved summarisation outcomes and retrieval-augmented era (RAG) duties.
- A brand new graphical person interface for abilities and information contributions, accessible as a developer preview, to simplify knowledge ingestion and chunking in addition to how customers add their very own abilities and contributions to an AI mannequin.
- Doc Information-bench (DK-bench) for simpler comparisons of AI fashions fine-tuned on related, non-public knowledge with the efficiency of the identical un-tuned base fashions.
Pink Hat AI InstructLab on IBM Cloud
More and more, enterprises are on the lookout for AI options that prioritise accuracy and knowledge safety, whereas additionally protecting prices and complexity as little as potential. Pink Hat AI InstructLab deployed as a service on IBM Cloud is designed to simplify, scale and assist enhance the safety footprint for the coaching and deployment of AI fashions. By simplifying InstructLab mannequin tuning, organisations can construct extra environment friendly fashions tailor-made to the organisations’ distinctive wants whereas retaining management of their knowledge.
No-cost AI Foundations coaching
AI is a transformative alternative that’s redefining how enterprises function and compete. To help organisations on this dynamic panorama, Pink Hat now gives AI Foundations on-line coaching programs for gratis. Pink Hat is offering two AI studying certificates which might be designed for knowledgeable senior leaders and AI novices alike, serving to educate customers of all ranges on how AI will help remodel enterprise operations, streamline decision-making and drive innovation. The AI Foundations coaching guides customers on how one can apply this data when utilizing Pink Hat AI.
Pink Hat AI InstructLab on IBM Cloud will likely be accessible quickly. AI Foundations coaching from Pink Hat is on the market to clients now.
Joe Fernandes, VP and basic supervisor, AI Enterprise Unit, Pink Hat, mentioned: “Pink Hat is aware of that enterprises will want methods to handle the rising price of their generative AI deployments, as they create extra use instances to manufacturing and run at scale. Additionally they want to handle the problem of integrating AI fashions with non-public enterprise knowledge and have the ability to deploy these fashions wherever their knowledge could stay. Pink Hat AI helps enterprises handle these challenges by enabling them to leverage extra environment friendly, purpose-built fashions, educated on their knowledge and allow versatile inference throughout on-premises, cloud and edge environments.”
Régis Lesbarreres, superior analytics and AI innovation supervisor, digital innovation, Airbus Helicopters, mentioned: “On the outset of our AI journey, Airbus Helicopters was seeking to combine AI into our present structure, cut back shadow IT, unite our knowledge scientists below a singular AI platform and optimise prices at scale. With Pink Hat OpenShift AI, we’ve been in a position to accomplish all of those targets, which led to our first enterprise use case for AI. Pink Hat’s imaginative and prescient for AI aligns with our enterprise goals and permits us to fulfill them whereas sustaining flexibility, accessibility and transparency.”
Javier Olaizola Casin, world managing accomplice, hybrid cloud and knowledge, IBM Consulting, mentioned: “Companies are more and more making use of AI to remodel core enterprise processes, and so they want AI options which might be versatile, cost-effective and tuned with trusted enterprise knowledge to fulfill their distinctive wants. Pink Hat AI brings the consistency, reliability and velocity that organisations want to construct and deploy AI fashions and purposes throughout hybrid cloud eventualities. Combining IBM Consulting’s area, know-how and business experience with Pink Hat’s AI applied sciences, we’re serving to our purchasers drive ROI from their know-how investments.”
Torsten Volks, principal analyst, utility modernisation, ESG, mentioned: “Main organisations harness AI-driven, data-centric determination making throughout groups and enterprise items. Subsequently, the power to quickly and affordably develop, deploy, combine, scale and govern AI-based capabilities throughout the enterprise turns into a crucial success issue. Establishing this functionality requires an open and extensible AI basis that ensures seamless integration with present techniques and processes, operational agility and steady governance. Enabling workers and clients to learn from AI capabilities quicker and in a extra complete method is essential for continued enterprise success.”
Anand Swamy, govt VP and world head of ecosystems, HCLTech, mentioned: “As a way to realise the total potential of generative AI, organisations must prioritise agile and versatile infrastructure. By combining the capabilities of Pink Hat AI, encompassing RHEL AI and Pink Hat OpenShift AI to ship an end-to-end AI utility platform, with HCLTech’s main AI experience and cognitive infrastructure providers, part of HCLTech AI Foundry answer, clients get a streamlined path to unlocking AI innovation, serving to them overcome widespread challenges resembling knowledge safety, scaling AI workloads and minimising infrastructure prices.”
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